Machine Learning Data Management
Machine learning data management involves the organization, storage, retrieval, and manipulation of large volumes of data used in machine learning algorithms. It includes processes such as data cleaning, preprocessing, integration, and transformation to ensure the quality and usability of the data for training machine learning models. This category also covers techniques for data labeling, annotation, and versioning to track changes and updates to the datasets over time. Additionally, it encompasses strategies for data privacy, security, and compliance to protect sensitive information used in machine learning applications.